Parabolic SAR (0.02, 0.2)

The Parabolic SAR (0.02, 0.2) is a trend indicators indicator used in Skyrexio Strategy Builder for trend strength measurement and direction identification.

Introduction

Parabolic SAR (Stop and Reverse) is a trend-following indicator that provides dynamic stop-loss levels and trend reversal signals. This indicator is context-dependent - it provides LONG signals when dots appear below price and SHORT signals when dots appear above price. Parabolic SAR excels at trailing stops and identifying potential trend reversals.

How Parabolic SAR (0.02, 0.2) Works

Parabolic SAR was developed by J. Welles Wilder Jr. as a trend-following system that provides potential reversal points. The indicator uses an acceleration factor that starts at 0.02 and increases by 0.02 each period until it reaches the maximum of 0.2, creating a parabolic curve that follows price trends.

Key characteristics of Parabolic SAR:

β€’ Dynamic stop-loss levels - Provides trailing stops that tighten as trends progress β€’ Trend reversal signals - Dots switching sides indicate potential trend changes β€’ Acceleration factor - Increases momentum sensitivity as trends develop β€’ Time-based exits - Forces position closure when trends lose momentum β€’ Clear visual signals - Dots above/below price provide unambiguous direction

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Market Psychology: Parabolic SAR reflects the market's momentum and time decay. Dots below price show bullish momentum with accelerating upward bias. Dots above price indicate bearish momentum with accelerating downward pressure. The acceleration factor captures the psychological tendency for trends to accelerate over time.

Key Characteristics

Attribute
Details

Category

Trend Indicators

Type

Trend Following with Dynamic Stops

Primary Use

Trend following and trailing stops

Timeframe

All timeframes supported (1m to 1M)

Confirmation

Volume, momentum indicators, trend strength

Strategy Applications

🟒 LONG STRATEGY (Primary Use)

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Base Entry Order (LONG)

Additional Entry Orders (LONG)

Take Profit Orders (LONG)

Stop Loss Orders (LONG)

πŸ”΄ SHORT STRATEGY (Primary Use)

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Base Entry Order (SHORT)

Additional Entry Orders (SHORT)

Take Profit Orders (SHORT)

Stop Loss Orders (SHORT)

Advanced Strategy Combinations

Multi-Timeframe Parabolic SAR Analysis

Higher Timeframe Confirmation:

  • Daily: SAR direction (overall trend bias)

  • 4H: SAR confirmation + trend strength

  • 1H: SAR execution signals + volume confirmation

SAR Reversal Strategy

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Setup Process:

  1. Identify SAR dot position change (below to above or above to below)

  2. Wait for price to confirm the reversal direction

  3. Enter on the first pullback to SAR level

  4. Use previous SAR extreme as initial target

Execution:

  • Base Order: Price crosses SAR dots (reversal signal)

  • Additional: Volume confirmation and momentum alignment

  • Take Profit: Previous trend extreme or momentum divergence

  • Stop Loss: SAR dots provide dynamic trailing stops

Risk Management Guidelines

Position Sizing

Strategy Type
Position Size
Conditions

LONG Strategy

Standard

Price above SAR dots with volume

SHORT Strategy

Standard

Price below SAR dots with volume

High Volatility

Reduce size

ATR > average (wider SAR gaps)

Low Volatility

Increase confidence

ATR < average (tighter SAR stops)

Parabolic SAR Reliability Factors

βœ… Clear SAR reversal signal βœ… Volume confirms price breakout βœ… Trending market conditions βœ… Momentum indicators align with direction

Best Practices

For LONG Strategies

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For SHORT Strategies

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Common Mistakes to Avoid

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Market Conditions Analysis

Market Type
LONG Strategy Effectiveness
SHORT Strategy Effectiveness

Strong Uptrend

🟒 High (SAR below price)

πŸ”΄ Low (against trend)

Strong Downtrend

πŸ”΄ Low (against trend)

🟒 High (SAR above price)

Ranging

πŸ”΄ Low (whipsaws common)

πŸ”΄ Low (whipsaws common)

Trending with Volume

🟒 Very High (ideal conditions)

🟒 Very High (ideal conditions)

High Volatility

🟑 Medium (wider stops)

🟑 Medium (wider stops)

Indicator
Relationship
Link

SuperTrend

Similar trend-following approach

Average True Range

Measures volatility for context

Moving Averages

Complementary trend identification

ADX

Trend strength confirmation

Conclusion

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Parabolic SAR is a context-dependent indicator that excels at providing dynamic trailing stops and trend reversal signals. Its primary strength lies in adapting to trend momentum while providing clear exit signals when trends lose steam.

Key Takeaways

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Success with Parabolic SAR requires patience to wait for clear trending conditions and discipline to use the dots as trailing stops. The indicator's strength lies in its ability to adapt to trend momentum while providing objective exit signals.

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